S
Visiting Faculty - Computer Applications & Research Methods in Strength and Conditioning
S
Visiting Faculty - Computer Applications & Research Methods in Strength and Conditioning
school of global studies, jain university- Posted 3 hours ago
- Be among the first 10 applicants
Job Description
Department: Sports Science / Sports Studies
Position Type: Part-Time / Contractual
Location: Yelahanka, Bangalore
1. Role OverviewWe are seeking a qualified, experienced Part-Time/ contract Faculty member to teach Computer Applications and Research Methods in Strength and Conditioning for sports students.
The faculty member will deliver engaging, practice-oriented sessions that enable students to use digital tools, analyse sports performance data, understand research methodologies, and apply evidence-based approaches to strength and conditioning.
2. Key Responsibilities- Deliver scheduled lectures, tutorials, and practical sessions as per the approved curriculum.
- Teach computer applications relevant to sports science, including MS Excel / Google Sheets, data organisation, performance tracking, and reporting.
- Introduce students to research methodology, research design, literature review, sampling, data collection, and research ethics.
- Demonstrate basic statistical analysis and interpretation using tools such as SPSS, Jamovi, JASP, or equivalent.
- Introduce sports performance data analysis, athlete monitoring, fitness assessment data, and workload tracking, as relevant to the course.
- Guide students in research assignments, mini-projects, presentations, and academic report writing.
- Prepare course materials, assignments, assessment rubrics, and evaluation reports.
- Conduct student assessments and provide timely feedback.
- Maintain academic records and coordinate with the programme team.
- Complete assigned teaching hours and academic deliverables within agreed timelines.
Essential:
- Master's degree in Sports Science, Exercise Science, Strength & Conditioning, Physical Education, Sports Coaching, or a related discipline.
- Good knowledge of research methodology and computer-based data analysis.
- Proficiency in MS Excel / Google Sheets and at least one relevant statistical or research tool.
- Strong communication, presentation, and student engagement skills.
Preferred:
- PhD or research experience in a relevant field.
- Prior teaching, research supervision, or sports industry experience.
- Relevant certifications or practical experience in strength and conditioning, sports analytics, or performance testing.
- Preferably 2+ years of relevant teaching, research, or industry experience.
- Candidates with strong subject expertise and relevant postgraduate research experience may also be considered.
- Part-time/contractual engagement.
- Teaching schedule and workload to be mutually agreed upon.
- Remuneration: Per lecture / per hour / per course, based on qualifications and experience.
- Contract duration: As per semester/course requirements, with extension subject to academic needs and mutual agreement.
- Engagement subject to institutional policies and applicable academic regulations.
- Research methodology and evidence-based practice.
- Computer applications and data management.
- Basic statistics and sports data interpretation.
- Academic writing and referencing.
- Student mentoring and classroom delivery.
- Ability to connect research concepts with real-world sports applications.
